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Apinya Sintavee

@apinyasintavee

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I'm advancing computational drug discovery through molecular docking, peptide screening, and machine learning.

Thailand

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What I'm looking for

I'm open to remote, hybrid, part-time, research assistant, and junior bioinformatics or computational biology roles where I can contribute to computational drug discovery research.

I'm pursuing computational drug discovery through structural bioinformatics, molecular docking, virtual screening, and machine learning for biological data.

At Kasetsart University, I screened approximately 160,000 CX4C cyclic peptide sequences against JAK1, JAK2, and JAK3, using docking, high-throughput ranking, and cross-target selectivity comparison.

I combined amino-acid and position-specific analysis with classification and regression models to identify patterns linked to predicted binding and target selectivity. My regression models achieved Spearman rank-order agreement of 0.857–0.904 across JAK targets.

I've also evaluated compounds against Leishmania CYP51, human acetylcholinesterase, pancreatic lipase, alpha-amylase, and alpha-glucosidase, and presented my cyclic peptide–JAK selectivity research at PST2026.

Experience

Work history, roles, and key accomplishments

Graduate Research

Kasetsart University

Jan 2026 - Present (8 months)

Screened approximately 160,000 CX4C cyclic peptide sequences against JAK1, JAK2, and JAK3 using molecular docking, high-throughput ranking, and cross-target selectivity comparison. Performed amino-acid composition and position-specific analyses and integrated ML classification/regression to identify sequence patterns associated with predicted binding and target selectivity.

Molecular Docking Virtual Screening High Throughput Screening Cross Target Ranking Amino Acid Analysis Machine Learning Classification regression Model Evaluation PR AUC MAE R Spearman Correlation Python Structural Bioinformatics

Education

Degrees, certifications, and relevant coursework

Kasetsart University

Master of Science, Genetic Engineering and Bioinformatics

2025 -

Pursuing a Master of Science in Genetic Engineering and Bioinformatics, with research focused on computational screening of cyclic peptides for JAK kinase selectivity.